Research Article
Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory
Table 3
Results of adjustment factors for the SVM and RF models for the soil total N variable.
| Model | Method | Transformation | train | test | RPD |
| SVM | Radial | 1° der SG + | 0.81 | 0.87 | 2.76 | SVM | Linear | 1° der SG + | 0.82 | 0.84 | 2.54 | SVM | Linear | Det + | 0.80 | 0.83 | 2.40 | RF | 800 trees | 1° der SG + | 0.79 | 0.79 | 5.44 | RF | 800 trees | Det + | 0.76 | 0.76 | 5.03 | RF | 800 trees | MSC + | 0.75 | 0.75 | 5.00 |
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